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2013 | OriginalPaper | Chapter

34. Application of Wavelet Shrinkage Denoising Method Based on Genetic Algorithm to Partial Discharge Signals

Authors : Bindiya Tyagi, H. A. Vidya

Published in: Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals & Systems and Networking (VCASAN-2013)

Publisher: Springer India

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Abstract

This paper presents the technique for denoising of partial discharge (PD) signals using genetic algorithm (GA) based on wavelet shrinkage. For the high voltage (HV) equipment in services, it is desired to perform PD tests when the equipment is in operation. The measurements, however, are seriously affected by the interference signals resulting from different sources. In order to enhance the sensitivity of a PD online monitoring system, many digital signal processing methods have been put forward for removal of noises. But to obtain the optimum denoising GA is applied. Here, first, optimum signal-to-noise ratio was obtained using modified wavelet technique (WT), and then, the same was obtained using GA and compared.

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Literature
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Metadata
Title
Application of Wavelet Shrinkage Denoising Method Based on Genetic Algorithm to Partial Discharge Signals
Authors
Bindiya Tyagi
H. A. Vidya
Copyright Year
2013
Publisher
Springer India
Book
Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals & Systems and Networking (VCASAN-2013)

Print ISBN: 978-81-322-1523-3

Electronic ISBN: 978-81-322-1524-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-81-322-1524-0_34